Nilesh Kumar Sahu

Orcid: 0000-0003-1675-7270

According to our database1, Nilesh Kumar Sahu authored at least 14 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation.
CoRR, July, 2025

Are Anxiety Detection Models Generalizable? A Cross-Activity and Cross-Population Study Using Wearables.
CoRR, April, 2025

AnxietyFaceTrack: A Smartphone-Based Non-Intrusive Approach for Detecting Social Anxiety Using Facial Features.
CoRR, February, 2025

Investigating the Generalizability of ECG Noise Detection Across Diverse Data Sources and Noise Types.
CoRR, February, 2025

Beyond Questionnaires: Video Analysis for Social Anxiety Detection.
CoRR, January, 2025

Assessing HRV and HR Dynamics with Wearables During Socially Anxious Situations: Insights from a Controlled Study in a Low-Middle-Income Country.
CoRR, January, 2025

Leveraging Language Models for Summarizing Mental State Examinations: A Comprehensive Evaluation and Dataset Release.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Exploring Social Media Posts for Depression Identification: A Study on Reddit Dataset.
CoRR, 2024

Fine-tuning Large Language Models for Automated Diagnostic Screening Summaries.
CoRR, 2024

Understanding Stress: A Web Interface for Mental Arithmetic Tasks in a Trier Social Stress Test.
CoRR, 2024

Unveiling Social Anxiety: Analyzing Acoustic and Linguistic Traits in Impromptu Speech within a Controlled Study.
ACM J. Comput. Sustain. Soc., 2024

Wearable Technology Insights: Unveiling Physiological Responses During Three Different Socially Anxious Activities.
ACM J. Comput. Sustain. Soc., 2024

Eyes Speak Louder: Harnessing Deep Features From Low-Cost Camera Video for Anxiety Detection.
Proceedings of the Workshop on Body-Centric Computing Systems, 2024

2023
Simulation and Modeling for Anomaly Detection in IoT Network Using Machine Learning.
Int. J. Wirel. Inf. Networks, June, 2023


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